[Yushu-Li]

What does this PR do?

I updated the argument guard in find_executable_batch_size so a training function that accepts *args can receive those arguments. The previous check counted parameter names as a fixed positional capacity and could reject valid calls before the training function ran. Functions with a fixed signature still use the existing guard and error message.

The regressions exercise a simulated out-of-memory retry with positional and keyword arguments, a wrapped bound method, and a call with no extra arguments. The first two fail on upstream main. The memory utility suite passes locally (9 passed, 1 skipped), along with Ruff lint and format checks for the changed files. The out-of-memory path is simulated, so no accelerator is needed.

I used OpenAI Codex to assist with implementation and testing.